Integrate the Clerk API with the Python API

Setup the Clerk API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Clerk and Python remarkably fast. Free for developers.

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Popular Clerk and Python Actions#

Create User with the Clerk API

Creates a new user. Your user management settings determine how you should setup your user model. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Create User Invitation with the Clerk API

Creates a new invitation for the given email address and sends the invitation email. Keep in mind that you cannot create an invitation if there is already one for the given email address. Also, trying to create an invitation for an email address that already exists in your application will result to an error. See the documentation

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Delete User with the Clerk API

Delete the specified user. See the documentation

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Get User with the Clerk API

Retrieve the details of a specific user. See the documentation

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Overview of Clerk#

The Clerk API lets you manage user authentication and create secure, delightful user experiences in your apps. Within Pipedream's serverless platform, you can harness this API to automate workflows that trigger on user events, sync user data across apps, and maintain robust user management without the heavy lifting of building authentication infrastructure from scratch.

Connect Clerk#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    clerk: {
      type: "app",
      app: "clerk",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.clerk.com/v1/users`,
      headers: {
        Authorization: `Bearer ${this.clerk.$auth.secret_key}`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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